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Agent Client Protocol (ACP)

(agentclientprotocol.com)
270 points vinhnx | 1 comments | 30 Aug 25 12:42 UTC | HN request time: 0s | source
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mg ◴[30 Aug 25 14:02 UTC] No.45074786[source]▶
I'm fine with treating AI like a human developer:

I ask AI to write a feature (or fix a bug, or do a refactoring) and then I read the commit. If the commit is not to my liking, I "git reset --hard", improve my prompt and ask the AI to do the task again.

I call this "prompt coding":

https://www.gibney.org/prompt_coding

This way, there is no interaction between my coding environment and the AI at all. Just like working with a human developer does not involve them doing anything in my editor.

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Disposal8433 ◴[30 Aug 25 14:16 UTC] No.45074878[source]▶
> Nowadays, it is better to write prompts

Very big doubt. AI can help for a few very specific tasks, but the hallucinations still happen, and making things up (especially APIs) is unacceptable.

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salomonk_mur ◴[30 Aug 25 14:43 UTC] No.45075081[source]▶
Hard disagree. LLMs are now incredibly good for any coding task (with popular languages).
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quotemstr ◴[30 Aug 25 16:28 UTC] No.45075893[source]▶
What's your explanation for why others report difficulty getting coding agents to produce their desired results?

And don't respond with a childish "skill issue lol" like it's Twitter. What specific skill do you think people are lacking?

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1. 80hd ◴[31 Aug 25 01:37 UTC] No.45079566{3}[source]▶
Not OP but my two cents - probably laziness and propensity towards daydreaming.

I have extreme intolerance to boredom. I can't do the same job twice. Some people don't care.

This pain has caused me to become incredibly effective with LLMs because I'm always looking for an easier way to do anything.

If you keep hammering away at a problem - i.e. how to code with LLMs - you tend to become dramatically better at other people who don't do that.